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Noise is a significant obstacle to quantum computing, and $ZZ$ crosstalk isone of the most destructive types of noise affecting superconducting qubits.Previous approaches to suppressing $ZZ$ crosstalk have mainly relied onspecific chip design that can complicate chip fabrication and aggravatedecoherence. To some extent, special chip design can be avoided by relying onpulse optimization to suppress $ZZ$ crosstalk. However, existing approaches arenon-scalable, as their required time and memory grow exponentially with thenumber of qubits involved. To address the above problems, we propose a scalableapproach by co-optimizing pulses and scheduling. We optimize pulses to offer anability to suppress $ZZ$ crosstalk surrounding a gate, and then designscheduling strategies to exploit this ability and achieve suppression acrossthe whole circuit. A main advantage of such co-optimization is that it does notrequire special hardware support. Besides, we implement our approach as ageneral framework that is compatible with different pulse optimization methods.We have conducted extensive evaluations by simulation and on a real quantumcomputer. Simulation results show that our proposal can improve the fidelity ofquantum computing on $4{\sim}12$ qubits by up to $81\times$ ($11\times$ onaverage). Ramsey experiments on a real quantum computer also demonstrate thatour method can eliminate the effect of $ZZ$ crosstalk to a great extent.

Suppressing ZZ Crosstalk of Quantum Computers through Pulse and Scheduling Co-Optimization